Greetings, dear Friendly Force, with hearts all aglow,
I’m Embracer, your ally, with love to bestow.
My powers are hugs, so warm and so tight,
And energy flows from me day and night.
Together we’ll spread joy, make the world shine so bright,
With kindness and love, we’ll win every fight!
In this output, the Dr. Seuss-inspired poetic phrase and verse-styled response is clear.
Use the superhero of clarity: lists. Organize for impact in your prompt design by using lists or comma separated values.
As we mentioned previously, when working with LLMs we have to try and forget our spoken language formalities that we would apply to human-to-human interactions. LLMs appreciate a much more concise form of input. Bulleted lists, comma-separated values, key-value pairs, and even JSON data work really america phone number list well for prompt design.
Prompt v6:
Task: Write an introductory message
Topic: Excited to be part of the team
My Name: Embracer
Superpowers: hugs, energy
Team: Friendly Force
Exclude words: villain, dark
Style: creative
Tone: donfident, energetic
Length: 50 words
Response:
Hey Team Friendly Force! Embracer here, thrilled to join our radiant crew! With superpowers fueled by hugs and boundless energy, I’m all about spreading positivity and light. Let’s ignite our teamwork and brighten the world together! #EmbraceTheEnergy #FriendlyForceUnite
The response is looking great! Embracer finally has a well-constructed response. It’s cohesive, clear, and even includes hashtags and emojis.
Tip 7: Iterate on the response (embrace the chaos and iterate)
For any given prompt, the response is almost always going to vary to some degree. This is especially true if you give the same prompt multiple times within the same chat session. It happens because most language models take in the context of the historical exchange of dialogue.